51 to 75 of 364 Machine Learning Jobs in the North of England

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises … Qualifications Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science ...

Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product‐led or consumer‐facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

performance reviews Deliver technology innovation initiatives that improve efficiency, advance business capability and strengthen resilience Assess, pilot and adopt emerging technologies, spanning artificial intelligence, machine learning, generative AI, intelligent automation and modern cloud tooling, aligned to architecture, security and resilience requirements Translate business technology strategy into actionable roadmaps … cyber security and resilience The ability to lead, manage and develop a team Proven success assessing, trialling and implementing emerging technologies, including artificial intelligence, machine learning and intelligent automation, balancing innovation against risk and regulation An analytical, commercially minded eye for the business value, feasibility and resilience impact ...

performance reviews Deliver technology innovation initiatives that improve efficiency, advance business capability and strengthen resilience Assess, pilot and adopt emerging technologies, spanning artificial intelligence, machine learning, generative AI, intelligent automation and modern cloud tooling, aligned to architecture, security and resilience requirements Translate business technology strategy into actionable roadmaps … cyber security and resilience The ability to lead, manage and develop a team Proven success assessing, trialling and implementing emerging technologies, including artificial intelligence, machine learning and intelligent automation, balancing innovation against risk and regulation An analytical, commercially minded eye for the business value, feasibility and resilience impact ...

Raffles, Singapore | Posted on 04/06/2026 Experience working with ML platforms such as CML, SparkMLlib, and Python ML libraries (scikit‐learn, XGBoost), including modeldeployment. Design and develop highly scalable, Real time systemsusing Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive,Ranger, Kafka, Flink and Nifi) Build robust … full‐stack applications and internalengineering tools using Python, shell scripting, and modern web frameworks(e.g., Flask, React). Collaborate closely with data scientists tooperationalize machine learning models using Cloudera Machine Learning(CML). Perform performance tuning and optimization of dataapplications on Hadoop to ensure optimal resource ...

Neptune North is seeking a Senior Machine Learning Engineer … deliver machine learning applications for defence and to provide technical oversight to a growing team in Newcastle upon Tyne. You will lead ML projects across unstructured data, time series and deployment, mentor engineers, and help shape winning bids while collaborating with clients. A strong maths/statistics background ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals – Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery – Experience building AI‐powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

development of Slalom's data engineering accelerators, frameworks, and methodologies. Share knowledge through internal presentations, documentation, and mentoring. Participate in Slalom's learning culture and pursue continuous professional development. Whatyou'llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding … Solutions Architect - Associate, or AWS Certified Developer - Associate Experience withstreaming data architecturesand real-time analytics Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool ...

creativity and design. All underpinned by technology created with purpose.We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events.* Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.* Learning & development – Training to support your career development and the skills demand within the company, certifications etc.## **YOUR PROFILE**We’d love to meet someone ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

Device ML Engineer, Federated Learning Build federated and on-device learning so models improve without centralising sensitive neural or operational data. What you’ll do Design federated update loops, evaluate drift and leakage risk, and ship learning that stays on the device whenever it can. What … bring On-device ML, federated learning, or privacy-preserving training experience. Strong Python plus mobile/embedded deployment. Apply for On-Device ML Engineer, Federated Learning — Manchester/Los Angeles A founder reads every application. CV required. First name Last name Apply for On-Device ML Engineer, Federated ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

formal training. What you will do Position CDW Custom AI capabilities - Engage with all Customer AI personas: technical personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP Infrastructure). Technical SME on CDW Custom AI – Maintain expert level knowledge … essential Evidence of judgement-based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private ...

required Up to £105,000 DoE + package Active SC or DV Clearance required 2-stage virtual interview process Experience required in AI/ML, LLMs, Python, Customer Consultancy We're supporting a fast-growing, high-performing technical consultancy specialising in AI, data and software solutions across Defence and financial … exposure across the AI engineering stack and working on technically challenging, real-world problems. Responsibilities Deliver AI solutions from POCs through to production Apply ML/AI techniques to complex Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across ...

legacy reporting and applications while planning sensible modernisation and retirement pathways. Data science, AI and intelligent automation Identify high‐value use cases for machine learning, generative AI, computer vision, natural language processing, optimisation and robotic process automation. Lead the design, validation, deployment and monitoring of models such … with orchestration tools such as Azure Data Factory, Prefect or Airflow. Strong experience administering or governing Power BI, SSRS and QlikView environments. Experience delivering machine‐learning, AI or intelligent‐automation solutions beyond proof‐of‐concept stage. Hands‐on experience designing or delivering RAG solutions, including document ingestion, chunking ...

visualisation choices without building dashboards or reports. AI-Ready Data - Make sure data platforms provide the quality, context, access and governance that AI and machine learning need. Work with the Principal AI Architect on AI use cases that depend on the data foundation. Security, Observability & FinOps by Design … technical relationships with data platform partners to stay current on roadmaps and capabilities, while using that knowledge as an independent advisor to customers. Continuous Learning & Accreditation - Keep expert knowledge up to date through hands‐on lab time, research and training. Maintain relevant accreditations in at least one core data ...

skills with experience working within multidisciplinary teams. Desirable skills and experience Experience processing/analysing Earth Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models … GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments and engaging directly with clients. Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or Terraform. Understanding of the Government Digital Service Standard and Technology Code of Practice. Senior ...

useful. Implement appropriate access controls, security and privacy practices to support GDPR and FCA requirements. Prepare the platform for future analytics, AI and machine learning applications. Evaluate tooling and contribute to decisions on the wider data architecture. What we’re looking for Commercial experience delivering and supporting production … financial or regulatory datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous ...

Analytics Manager, the Data Scientist is a valued member of the Enterprise Analytics & AI Hub. This role develops and evaluates advanced analytics, machine learning, and generative AI solutions that help us understand business challenges, improve decisions, and create better customer and colleague experiences.Using modern data science techniques … Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments and apply statistical analysis, including A/ ...

Analytics Manager, the Data Scientist is a valued member of the Enterprise Analytics & AI Hub. This role develops and evaluates advanced analytics, machine learning, and generative AI solutions that help us understand business challenges, improve decisions, and create better customer and colleague experiences. Using modern data science techniques … Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments and apply statistical analysis, including A/ ...